Capital One Granted Patent for Vehicle Recommendations Based on Browser Context
Summary
The USPTO granted Patent US12608736B2 to Capital One Services, LLC on April 21, 2026. The patent covers a recommendation system that receives browser context information from a client device, generates a vehicle feature vector, applies a similarity model to determine vehicle recommendations, and filters results based on user profile data from the browser context. The patent contains 20 claims and was filed on February 15, 2023.
What changed
The USPTO granted Patent US12608736B2 to Capital One Services, LLC on April 21, 2026. The patent covers a recommendation system that uses browser context data from client devices to generate and filter vehicle recommendations based on user profiles. The system generates a vehicle feature vector representing multiple vehicle attributes, applies a similarity model to determine matching vehicles, and filters results based on browser context data indicating user profile characteristics.
Patent grants do not impose compliance obligations on third parties. However, entities developing vehicle recommendation systems or browser-based personalization technology should be aware that Capital One holds exclusive rights to this specific implementation. The patent may affect product development decisions in the vehicle e-commerce and recommendation engine space.
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Apr 22, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Vehicle recommendations based on browser context
Grant US12608736B2 Kind: B2 Apr 21, 2026
Assignee
Capital One Services, LLC
Inventors
Russell Danna, Landon M. Nehmer, Jacob Anderson, Michael Garner
Abstract
In some implementations, a recommendation system may receive information related to a browser context associated with the client device. The recommendation system may generate a vehicle feature vector that includes an array of elements to represent a plurality of vehicle attributes. The recommendation system may apply a similarity model to the vehicle feature vector to determine a vehicle recommendation dataset that includes a plurality of vehicles that are each associated with a respective set of vehicle attributes. The recommendation system may filter the vehicle recommendation dataset based on a subset of the information related to the browser context associated with the client device that indicates a profile of a user associated with the client device. The recommendation system may provide information related to the vehicle recommendation dataset to the client device for display in an interface of the client device.
CPC Classifications
G06Q 30/0613 G06Q 30/0631 G06Q 30/0641 G06Q 30/0207-0277
Filing Date
2023-02-15
Application No.
18169510
Claims
20
Parties
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